Design and Development of Electronic Prescription and Patient Information Systems for Developing World By
|
|
- Lawrence Horton
- 7 years ago
- Views:
Transcription
1 Design and Development of Electronic Prescription and Patient Information Systems for Developing World By Dr Boniface Ekechukwu* and Chidi Obi **Dr Arinze Nweze* *Department of Computer Science, Nnamdi Azikiwe University, PMB5025 Awka, Anambra State, Nigeria ** Dept of Information Technology, National Open University, Awka Center ***Dept of Computer science, Caritas University, Enugu Abstract Recommendation of appropriate Drugs and limited availability of medical experts, make it difficult for a patient to receive immediate attention and appropriate drug recommendation. Time wasting is involved. Our hospitals are known for long queues due to few medical experts for diagnosis and treatment of patients. These patients undergo stress of obtaining a hospital card, registering with the hospital, seeing the medical expert and receiving drug recommendations. Unavailability of Medical Experts is a serious problem. This research was conducted using diabetes as a case study. Owing to the nature of diabetes as a disease, one may not find a medical expert in a critical moment of need. The available medical experts may have several hospitals expected to cover at the same time. Thus, he has very limited time to attend to the patients. This system is developed to assist the patient specially when expert doctors are not available. Introduction The importance of this study cannot be over emphasized. This work will be of great importance to the: Medical Doctors: Medical professional like nurses: Government and hospital management: Diabetic patients: Public and less privileged. The research started based on the needs of the people for: the development of software that will enhance faster diagnosis of Diabetes; early detection and treatment 230
2 of the disease-diabetes: reducing stress and inadequacies associated with the manual diagnosis of diabetes by medical doctors: software that will also assist in managing the limited number of medical experts: improvement of the manual diagnosis of the medical experts: will make the data of patients easily available for future use: It will also give a more accurate result from the test we run and have good data for results obtained. This project does not intend to replace the medical doctors with computers, rather to ease the problems doctors face in the diagnosis of diabetes. This work will be of great importance to the doctors who have several patients to attend to, within a very limited time. They will easily diagnose and prescribe drugs with the support of computerized expert system for diagnosis of diabetes. Background Studies Artificial intelligence is a term that was first used by John McCarthy at Dartmouth College in 1956 to describe computer that have the ability to mimic or duplicate the functions of human brain. Many artificial intelligence (AI) pioneers that attended this first conference predicted that computers would be as smart as people by 1960s. John McCarthy who coined the tern in 1956 defined it as the science and engineering of making intelligent machines. Wikipedia s Encyclopedia (2007) defines artificial intelligence as the intelligence of machines and the branch of computer science that aims to create it. Artificial intelligence is also defined as the study and design of intelligent agents, where and intelligent agent is a system that perceives its environment and takes action that maximizes its chances of success. The field was founded on the claim that a central property of human s intelligence-the sapience of Homo sapiens can be so precisely described that it can be stimulated by a machine. Therefore, artificial intelligence is defined as computer programs that are derived from a branch of computer science that deals with the manipulation process which results to an intelligent actions and goals. It is also seen as the science and engineering of making intelligent machines, using intelligent computer programs which 231
3 is related to the similar task of using computers to understand human intelligence. It is building computer programs that can exhibit intelligent behaviour. It is concerned with the concept s and methods of symbolic inference or reasoning by a computer and how the knowledge used to make those inferences will be represented inside the machine. Intelligence covers many cognitive skills including the ability to solve problems, learn and understand languages. Artificial intelligence addresses all of those but most progress to date in artificial intelligence has been made in the area of problem solving. The concepts and methods for building programs that reason about problems rather than calculate a solution. The central problems of artificial intelligence include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. Dr. Anthony Sforza stated with smart doctor you can fully document a patient visit, write a new prescription, complete electronic method coding and have a bill ready to go electronically in an average time of 1.5 minutes. This means that with smart doctor in use, one would receive medical attention, prescriptions and bill within 1.5 minutes. Thus, patients would spend a very short time in the hospital, while the doctor would be able to attend to several patients within a very short time. Gary L. Robertson, M.D (Northern western University Chicago, Illinois, U.S.A) defined it as a disorder in which there is an abnormal increase in urine output, fluid intake and often thirsts. It causes symptoms such as urinary frequency, nocturnal (frequent awakening at night to urinate) or enuresis (involuntary urination during sleep or bedwetting). Urine output is increased because it is not concentrated normally. Consequently, instead of being a yellow color, the urine is pale, colorless or watery in appearance and the measured concentration (osmolatity or specific gravity is low). Materials and Methods Wikipedia Encyclopedia (2007) defines Artificial intelligence as the intelligence of machines and the branch of computer science that aims to create it. This means the 232
4 ability of a machine to reason intelligently as a human being. The machine is able to take decisions that are correct. Artificial Intelligence is a broad field that includes several special areas such as Robotics, Vision Systems, Natural Language Processing, Learning System, Neutral networks and Expert System. Robotics: The word Robot was popularized by Karel Capek s 1920 play. This word Robot comes from the Greek word robot meaning unpleasant or difficult work. A robot is a machine that acts like human. It has hands and legs, and can hold or move some physical objects. It is associated with computer control system. There is another area of artificial intelligence, which includes hardware and software that permit computers to capture, store and manipulate visual images and pictures. The vision system is used by United States Justice Department to perform finger print analysis with almost the same level of precision as human experts. The speed with which the system can search through a database of fingerprints has brought a quick resolution to many long standing mysteries. Vision System is also effective at identifying people based on facial features. Canesta, a start-up firm in California, uses infrared light and photographic chips to give computer device a three dimensional image of objects. In the same way, vision system can be used together with robots, to give some machines sight. Expert systems are computer programme that are derived from a branch of computer science research called Artificial Intelligence (A.I). Artificial Intelligence programs that achieve expert level competence in solving problems in task areas by bringing to bear a body of knowledge about specific tasks are called knowledge based or expert systems. Often the term expert system is reserved for programs whose knowledge base contains the knowledge used by human experts. The two terms Expert system (E.S) and Knowledge-based system (KBS) are often used synonymously. The area of human intellectual endeavor to be captured in an expert system is called the task domain. Task refers to the area within which the task 233
5 is being performed. Typical tasks are diagnosis, planning, scheduling, configuration and design. System Design Every expert system consists of two principal parts: the knowledge base; and the reasoning or inference engine. Another important point to be noted in expert system is the knowledge presentation. Knowledge presentation formalizes and organizes the knowledge. One widely used representation is the production rule, or simply rule. A rule consists of an IF part and a THEN part (also called a condition and an action).the IF part lists a set of conditions in the same logical combination. The piece of knowledge represented by the production rule is relevant to the line of reasoning being developed if the IF part of the rule is satisfied. Consequently, the THEN part can be concluded, or its problem-solving action taken. Expert systems whose knowledge is represented in rule form are called rule-based systems. Another widely used representation is called the unit (also known as frame, schema, or list, structure ) is based upon a more passive view of knowledge. The unit is an assemblage of associated symbolic knowledge about an entity to be represented. Typically, a unit consists of a list of properties of the entity and associated values for those properties. Since every task domain consists of many entities that stand in various relations, the properties can also be used to specify relations, and the values of these properties are the names of other units that are linked according to the relations. One unit can also represent knowledge that is a special case of another unit, or some units can be parts of another unit. The design of the new system is the architectural drawing and outlining of the specification document. It is the blue print of the system that is to be developed. It is done in two phases. The architectural design is the breaking down of the system into its components, called modules and the detailed design which is the actual design of each module. 234
6 P1 Log In P2 Registration of New Patient Maintenance P3 Patient Info.. D1 P4 Diagnosis of Patients P5 P6 P7 Result/Report Help Exit D2 The diagram above shows the details of the system. P1: This process is responsible for logging on a new user with the insertion of a password. P2: This process is responsible for registration of a new patient. P3: This is responsible for the updating or maintenance of a patient s record. P4: This process is responsible for the diagnosis of a patient. 235
7 P5: This process is responsible for querying the data base management and receiving report about a particular patient. P6: This takes care of the help options. P7: This helps the users to exit or log out of the program. D1: This is the database where information about the patient is stored. D2: This is the database where information about the help option is stored. Results and Discussions In the hospitals, patients usually wait for a longtime before receiving medical attentions. Patients sometimes require the services of a doctor or nurse at the time they are not available. In order to solve or reduce this problem, a computerized diagnosis system is recommended for every clinic or hospitals. However, this project is not designed to substitute medical practitioners in the health sector. Rather, it shows how computer programs, expert systems can be used in medical diagnosis (diabetes) and files can be kept in a database for appending and retrieval in our hospitals. 236
8 237
9 References 1 Control, Cervical Cancer Screening in Developing Countries: Report of a WHO Consultation, Geneva: World Health Organization, As of August 24, 2011: 2 Expert System and medical Issues Thomson Learning. pp. 741 pages. ISBN French,C.S.(1993).Data processing and information technology Dp publication Ltd, London. 4 Gregory Hastings, Nejhdeh Ghevondian, A selforganizing estimator for hypoglycemia monitoring in diabetic patients, 20th annual international conference of IEEE engineering in medicine and biology society,vol. 20, No 3,
10 5 T.Jayalakshmi and Dr.A.Santhakumaran, A novel classification method for classification of diabetes mellitus using artificial neural networks International Conference on Data Storage and Data Engineering. 239
Design and Rules Development of Online Children Skin Diseases Diagnosis System
2012 International Conference on Information and Knowledge Management (ICIKM 2012) IPCSIT vol.45 (2012) (2012) IACSIT Press, Singapore Design and Rules Development of Online Children Skin Diseases Diagnosis
More informationTOWARDS KNOWLEDGE BASED MEDICAL PRESCRIPTION SYSTEM IN HEALTH SECTOR IN UGANDA: A CASE OF MBUYA MILTARY HOSPITAL
TOWARDS KNOWLEDGE BASED MEDICAL PRESCRIPTION SYSTEM IN HEALTH SECTOR IN UGANDA: A CASE OF MBUYA MILTARY HOSPITAL Conrad M. Mubaraka*, Mamman Jibia Salisu** & Kirungi Priscilla*** *Deputy Principal, College
More informationA Medical Decision Support System (DSS) for Ubiquitous Healthcare Diagnosis System
, pp. 237-244 http://dx.doi.org/10.14257/ijseia.2014.8.10.22 A Medical Decision Support System (DSS) for Ubiquitous Healthcare Diagnosis System Regin Joy Conejar 1 and Haeng-Kon Kim 1* 1 School of Information
More informationRegistered Charity No. 5365
THE MULTIPLE SCLEROSIS SOCIETY OF IRELAND Dartmouth House, Grand Parade, Dublin 6. Telephone: (01) 269 4599. Fax: (01) 269 3746 MS Helpline: 1850 233 233 E-mail: mscontact@ms-society.ie www.ms-society.ie
More informationKS3 Computing Group 1 Programme of Study 2015 2016 2 hours per week
1 07/09/15 2 14/09/15 3 21/09/15 4 28/09/15 Communication and Networks esafety Obtains content from the World Wide Web using a web browser. Understands the importance of communicating safely and respectfully
More information060010706- Artificial Intelligence 2014
Module-1 Introduction Short Answer Questions: 1. Define the term Artificial Intelligence (AI). 2. List the two general approaches used by AI researchers. 3. State the basic objective of bottom-up approach
More information8. KNOWLEDGE BASED SYSTEMS IN MANUFACTURING SIMULATION
- 1-8. KNOWLEDGE BASED SYSTEMS IN MANUFACTURING SIMULATION 8.1 Introduction 8.1.1 Summary introduction The first part of this section gives a brief overview of some of the different uses of expert systems
More informationPrediction of Heart Disease Using Naïve Bayes Algorithm
Prediction of Heart Disease Using Naïve Bayes Algorithm R.Karthiyayini 1, S.Chithaara 2 Assistant Professor, Department of computer Applications, Anna University, BIT campus, Tiruchirapalli, Tamilnadu,
More informationIntroduction to Information and Computer Science: Information Systems
Introduction to Information and Computer Science: Information Systems Lecture 1 Audio Transcript Slide 1 Welcome to Introduction to Information and Computer Science: Information Systems. The component,
More informationIAI : Expert Systems
IAI : Expert Systems John A. Bullinaria, 2005 1. What is an Expert System? 2. The Architecture of Expert Systems 3. Knowledge Acquisition 4. Representing the Knowledge 5. The Inference Engine 6. The Rete-Algorithm
More informationAN INTRODUCTION TO PSYCHOLOGY
An Introduction to MODULE - I 1 AN INTRODUCTION TO PSYCHOLOGY As human beings our curiosity drives us to know the reasons behind various events happening around us. Whenever we meet somebody or see someone
More informationEXECUTIVE SUPPORT SYSTEMS (ESS) STRATEGIC INFORMATION SYSTEM DESIGNED FOR UNSTRUCTURED DECISION MAKING THROUGH ADVANCED GRAPHICS AND COMMUNICATIONS *
EXECUTIVE SUPPORT SYSTEMS (ESS) STRATEGIC INFORMATION SYSTEM DESIGNED FOR UNSTRUCTURED DECISION MAKING THROUGH ADVANCED GRAPHICS AND COMMUNICATIONS * EXECUTIVE SUPPORT SYSTEMS DRILL DOWN: ability to move
More informationAn Introduction to Health Informatics for a Global Information Based Society
An Introduction to Health Informatics for a Global Information Based Society A Course proposal for 2010 Healthcare Industry Skills Innovation Award Sponsored by the IBM Academic Initiative submitted by
More informationINTENSITY MODULATED RADIATION THERAPY (IMRT) FOR PROSTATE CANCER PATIENTS
INTENSITY MODULATED RADIATION THERAPY (IMRT) FOR PROSTATE CANCER PATIENTS HOW DOES RADIATION THERAPY WORK? Cancer is the unrestrained growth of abnormal cells within the body. Radiation therapy kills both
More informationFrequency, definition Modifiability, existence of multiple operations & strategies
Human Computer Interaction Intro HCI 1 HCI's Goal Users Improve Productivity computer users Tasks software engineers Users System Cognitive models of people as information processing systems Knowledge
More informationDecision Support System In Heart Disease Diagnosis By Case Based Recommendation
Decision Support System In Heart Disease Diagnosis By Case Based Recommendation Prinsha Prakash Abstract: Heart disease is the main leading killer as well as a major cause of disability. Its timely detection
More informationWhat is Artificial Intelligence?
CSE 3401: Intro to Artificial Intelligence & Logic Programming Introduction Required Readings: Russell & Norvig Chapters 1 & 2. Lecture slides adapted from those of Fahiem Bacchus. 1 What is AI? What is
More informationA Framework of Context-Sensitive Visualization for User-Centered Interactive Systems
Proceedings of 10 th International Conference on User Modeling, pp423-427 Edinburgh, UK, July 24-29, 2005. Springer-Verlag Berlin Heidelberg 2005 A Framework of Context-Sensitive Visualization for User-Centered
More informationGrade 12 Psychology (40S) Outcomes Unedited Draft 1
Grade 12 Psychology (40S) Outcomes Unedited Draft 1 Theme 1: Introduction and Research Methods Topic 1: Introduction 1.1.1 Define psychology, and list and explain its goals. 1.1.2 Describe and compare
More informationHow To Create A Decision Support System For A Patient Care System
DOI: 10.7763/IPEDR. 2013. V63. 3 Design of a Decision Support System in Electronic Medical Record Using Structured Query Language Muhammad Asif +, Mohammad Jamil Sawar, and Umair Abdullah Barani Institute
More informationUnderstanding and Supporting Intersubjective Meaning Making in Socio-Technical Systems: A Cognitive Psychology Perspective
Understanding and Supporting Intersubjective Meaning Making in Socio-Technical Systems: A Cognitive Psychology Perspective Sebastian Dennerlein Institute for Psychology, University of Graz, Universitätsplatz
More informationCHAPTER 15: IS ARTIFICIAL INTELLIGENCE REAL?
CHAPTER 15: IS ARTIFICIAL INTELLIGENCE REAL? Multiple Choice: 1. During Word World II, used Colossus, an electronic digital computer to crack German military codes. A. Alan Kay B. Grace Murray Hopper C.
More informationDevelopment of a Network Configuration Management System Using Artificial Neural Networks
Development of a Network Configuration Management System Using Artificial Neural Networks R. Ramiah*, E. Gemikonakli, and O. Gemikonakli** *MSc Computer Network Management, **Tutor and Head of Department
More informationObject models and Databases. Contents
: Object models and Databases by Robin Beaumont e-mail: robin@robinbt2.free-online.co.uk Contents 2. LEARNING OUTCOMES CHECK LIST FOR THE SESSION... 2-2 3. INTRODUCTION... 3-3 4. A STRATEGY FOR SPECIFYING
More informationCHAPTER 1. Introduction. procedures that are designed to provide the right information the user needs to do their
CHAPTER 1 Introduction 1.1 Background Information systems is collection of hardware, software, data, people and procedures that are designed to provide the right information the user needs to do their
More informationApplication development = documentation processing
Application development = documentation processing Software is documented information about activities, that can be transformed into executable computer instructions performing the activities as documented.
More informationClinical Database Information System for Gbagada General Hospital
International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Volume 2, Issue 9, September 2015, PP 29-37 ISSN 2349-4840 (Print) & ISSN 2349-4859 (Online) www.arcjournals.org
More informationCentral Diabetes Insipidus
2015 Central Diabetes Insipidus Central Diabetes Insipidus What is diabetes insipidus? Diabetes insipidus (DI) is a rare disorder of water balance. Normally, the amount of fluid you drink is delicately
More informationCS 6795 Introduction to Cognitive Science Spring 2012 Homework Assignment 3
THE GEORGIA INSTITUTE OF TECHNOLOGY CS 6795 Introduction to Cognitive Science Spring 2012 Homework Assignment 3 Mason Nixon 23rd February, 2012 Assignment In class we discussed some of your ideas designing
More informationCourse Completion Roadmap. Others Total
Undergraduate Curriculum Psychology Major : (1) Total credits: - Multiple majors: minimum of 6 credits - Single major: minimum of 48 credits - Teacher training program: minimum of 50 credits (2) Required
More informationUrinary Incontinence Definitions
(AADL) Program Urge Stress Overflow Functional Mixed DHIC (Detrussor hyperreflexia with impaired contractility) Reflex Incontinence Leakage of urine (usually larger volumes) because of inability to delay
More informationKNOWLEDGE-BASED IN MEDICAL DECISION SUPPORT SYSTEM BASED ON SUBJECTIVE INTELLIGENCE
JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 22/2013, ISSN 1642-6037 medical diagnosis, ontology, subjective intelligence, reasoning, fuzzy rules Hamido FUJITA 1 KNOWLEDGE-BASED IN MEDICAL DECISION
More informationProposed Electronic Medical Record with Emphasis on Hepatitis Diagnosis
138 S P E C I A L P A P E R. Proposed Electronic Medical Record with Emphasis on Hepatitis Diagnosis Anna Tsakona, RN, BSc, MSc, PhD (c) Department of Computer Engineering and Informatics, University of
More informationEvolution of Information System
Information Systems Classification Evolution of Information System The first business application of computers (in the mid- 1950s) performed repetitive, high-volume, transaction-computing tasks. The computers
More informationCOURSE DESCRIPTIONS 科 目 簡 介
COURSE DESCRIPTIONS 科 目 簡 介 COURSES FOR 4-YEAR UNDERGRADUATE PROGRAMMES PSY2101 Introduction to Psychology (3 credits) The purpose of this course is to introduce fundamental concepts and theories in psychology
More information2006-1403: INTEGRATION OF MEDICAL INFORMATICS INTO COMPUTER SCIENCE CURRICULUM
2006-1403: INTEGRATION OF MEDICAL INFORMATICS INTO COMPUTER SCIENCE CURRICULUM Amjad Zaim, University of Texas-Brownsville Juan Iglesias, University of Texas-Brownsville Mahmoud Quweider, University of
More informationTHE DEVELOPMENT OF AN EXPERT CAR FAILURE DIAGNOSIS SYSTEM WITH BAYESIAN APPROACH
Journal of Computer Science 9 (10): 1383-1388, 2013 ISSN: 1549-3636 2013 doi:10.3844/jcssp.2013.1383.1388 Published Online 9 (10) 2013 (http://www.thescipub.com/jcs.toc) THE DEVELOPMENT OF AN EXPERT CAR
More informationActing humanly: The Turing test. Artificial Intelligence. Thinking humanly: Cognitive Science. Outline. What is AI?
Acting humanly: The Turing test Artificial Intelligence Turing (1950) Computing machinery and intelligence : Can machines think? Can machines behave intelligently? Operational test for intelligent behavior:
More informationTHE INTELLIGENT INTERFACE FOR ON-LINE ELECTRONIC MEDICAL RECORDS USING TEMPORAL DATA MINING
International Journal of Hybrid Computational Intelligence Volume 4 Numbers 1-2 January-December 2011 pp. 1-5 THE INTELLIGENT INTERFACE FOR ON-LINE ELECTRONIC MEDICAL RECORDS USING TEMPORAL DATA MINING
More informationArtificial Intelligence and Robotics @ Politecnico di Milano. Presented by Matteo Matteucci
1 Artificial Intelligence and Robotics @ Politecnico di Milano Presented by Matteo Matteucci What is Artificial Intelligence «The field of theory & development of computer systems able to perform tasks
More informationANALYSIS OF WEB-BASED APPLICATIONS FOR EXPERT SYSTEM
Computer Modelling and New Technologies, 2011, Vol.15, No.4, 41 45 Transport and Telecommunication Institute, Lomonosov 1, LV-1019, Riga, Latvia ANALYSIS OF WEB-BASED APPLICATIONS FOR EXPERT SYSTEM N.
More informationThe College of Family Physicians of Canada. Position Statement Prescribing Rights for Health Professionals
The College of Family Physicians of Canada Position Statement Prescribing Rights for Health Professionals Introduction The College of Family Physicians of Canada (CFPC) supports models of practice that
More informationLevels of Analysis and ACT-R
1 Levels of Analysis and ACT-R LaLoCo, Fall 2013 Adrian Brasoveanu, Karl DeVries [based on slides by Sharon Goldwater & Frank Keller] 2 David Marr: levels of analysis Background Levels of Analysis John
More informationAdegbenjo Aderonke A., Kuyoro Shade O., Ogunlere Samson O., and Kanu Richmond U.
Design and Implementation of Health Management System Adegbenjo Aderonke A., Kuyoro Shade O., Ogunlere Samson O., and Kanu Richmond U. Babcock University Nigeria Abstract This work aim at developing health
More informationDriver indicated a loss or impairment of consciousness within last: 6 months 12 months or more Date: / /
PHYSICIAN S STATEMENT OF EXAMINATION Michigan Department of State Driver Assessment and Appeal Division P.O. Box 30196, Lansing, Michigan 48909-7696 Phone: (517) 335-7051; Fax: (517) 335-2189; E-mail:
More informationFuzzy Knowledge Base System for Fault Tracing of Marine Diesel Engine
Fuzzy Knowledge Base System for Fault Tracing of Marine Diesel Engine 99 Fuzzy Knowledge Base System for Fault Tracing of Marine Diesel Engine Faculty of Computers and Information Menufiya University-Shabin
More informationHELP DESK SYSTEMS. Using CaseBased Reasoning
HELP DESK SYSTEMS Using CaseBased Reasoning Topics Covered Today What is Help-Desk? Components of HelpDesk Systems Types Of HelpDesk Systems Used Need for CBR in HelpDesk Systems GE Helpdesk using ReMind
More informationOveractive Bladder (OAB)
Overactive Bladder (OAB) Overactive bladder is a problem with bladder storage function that causes a sudden urge to urinate. The urge may be difficult to suppress, and overactive bladder can lead to the
More informationDr. Pat Mirenda. Software Design Specification Document
CPSC 319 Team 2 Dr. Pat Mirenda Software Design Specification Document Version: 1.2 Date: (03/17/2006) 2Communicate SDS Revisions Version Primary Author(s) Description of Version Date Completed 1.0 Wei
More informationA Systemic Artificial Intelligence (AI) Approach to Difficult Text Analytics Tasks
A Systemic Artificial Intelligence (AI) Approach to Difficult Text Analytics Tasks Text Analytics World, Boston, 2013 Lars Hard, CTO Agenda Difficult text analytics tasks Feature extraction Bio-inspired
More informationAnalysis and Design of a Simplified Patient Care System, DNS
Analysis and Design of a Simplified Patient Care System, DNS Info 620: Information Systems Analysis and Design Claire King, Christie McHargue, Adelaida Montanez, Sarah Neergaard Project Category: Analysis
More informationClinic Management System
Macau Polytechnic Institute School of Public Administration Computer Studies Program MCCS390-211 Applied Computing Project I Lecturers: Andrew Siu, Philip Lei ALO Team Group member: Andrew Ho P-99-0092-1
More informationLONG BEACH CITY COLLEGE MEMORANDUM
LONG BEACH CITY COLLEGE MEMORANDUM DATE: May 5, 2000 TO: Academic Senate Equivalency Committee FROM: John Hugunin Department Head for CBIS SUBJECT: Equivalency statement for Computer Science Instructor
More informationCHAPTER 6. Discussion and Conclusion. patient health information, such as diagnosis, medicine orders, managing patient
CHAPTER 6 Discussion and Conclusion 6.1 Introduction Health care information system is a computer application to represent patient information in a friendly user interface and allowing users to review
More information2 AIMS: an Agent-based Intelligent Tool for Informational Support
Aroyo, L. & Dicheva, D. (2000). Domain and user knowledge in a web-based courseware engineering course, knowledge-based software engineering. In T. Hruska, M. Hashimoto (Eds.) Joint Conference knowledge-based
More informationRequirements Analysis Concepts & Principles. Instructor: Dr. Jerry Gao
Requirements Analysis Concepts & Principles Instructor: Dr. Jerry Gao Requirements Analysis Concepts and Principles - Requirements Analysis - Communication Techniques - Initiating the Process - Facilitated
More informationWhat is vascular dementia?
alzheimers.org.uk What is vascular dementia? Vascular dementia is the second most common form of dementia after Alzheimer s disease. It is caused by problems in the supply of blood to the brain. This factsheet
More informationEducation & Training Plan. Psychology Certificate Program with Externship. Columbia Southern University (CSU)
Columbia Southern University Dept. of Continuing Education 21982 University Lane Orange Beach, AL 36561 http://www.columbiasouthern.edu/ Contact: Laurie Coleman 800.977.8449 x1840 laurie.coleman@columbiasouthern.edu
More informationBase Station Design and Architecture for Wireless Sensor Networks
Base Station Design and Architecture for Wireless Sensor Networks David Kohanbash*, Abhinav Valada, George Kantor Carnegie Mellon University Robotics Institute, 5000 Forbes Ave, Pittsburgh, PA, 15213 USA
More informationARTIFICIALLY INTELLIGENT COLLEGE ORIENTED VIRTUAL ASSISTANT
ARTIFICIALLY INTELLIGENT COLLEGE ORIENTED VIRTUAL ASSISTANT Vishmita Yashwant Shetty, Nikhil Uday Polekar, Sandipan Utpal Das, Prof. Suvarna Pansambal Department of Computer Engineering, Atharva College
More informationA Framework for Personalized Healthcare Service Recommendation
A Framework for Personalized Healthcare Service Recommendation Choon-oh Lee, Minkyu Lee, Dongsoo Han School of Engineering Information and Communications University (ICU) Daejeon, Korea {lcol, niklaus,
More informationGeneral syllabus for third-cycle courses and study programmes in
ÖREBRO UNIVERSITY This is a translation of a Swedish document. In the event of a discrepancy, the Swedishlanguage version shall prevail. General syllabus for third-cycle courses and study programmes in
More informationINTEGRATED STAFF ATTENDANCE SYSTEM (ISAS) WEE PEK LING
INTEGRATED STAFF ATTENDANCE SYSTEM (ISAS) WEE PEK LING A report submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of Computer Science (Computer Systems & Networking)
More informationE-Control Medicine Prescription Manual
E-Control Medicine Prescription Manual 1 P a g e Contents 1. Introduction... 3 1.1 Purpose & Objective... 3 1.2 Assumptions... 3 2. Login to the System... 3 3. Account Registration... 5 3.1 Register a
More informationElectronic Health Records
What Do Electronic Health Records Mean for Our Practice? What are Electronic Health Records? Electronic Health Records (EHRs) are computer systems that medical practices use instead of paper charts. All
More informationCourse 395: Machine Learning
Course 395: Machine Learning Lecturers: Maja Pantic (maja@doc.ic.ac.uk) Stavros Petridis (sp104@doc.ic.ac.uk) Goal (Lectures): To present basic theoretical concepts and key algorithms that form the core
More informationKeywords web based medical management, patient database on cloud, patient management and customized applications on tablets, android programming.
Functional Description of Online Medical Management System Using Modern Technology Priyanka Patil, Sruthi Kunhiraman, Rohini Temkar VES Institute of Technology, Chembur, Mumbai Abstract Today s web based
More informationExecutive Function Capacities:
Executive Function Capacities: It s not not knowing what to do; it s knowing to do what you know. Lisa A. Perkins, Psy. D. Westport Public Schools Questions about Your Executive Function Capacities? How
More informationsound or ringing in the ears.
(Idiopathic Intracranial Hypertension) Sashank Prasad, MD www.brighamandwomens.org/neuro-ophthalmology A Patient s Guide Symptoms Diagnosis Treatment Prognosis Symptoms The symptoms of include: Headaches
More informationImpelling Heart Attack Prediction System using Data Mining and Artificial Neural Network
General Article International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347-5161 2014 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet Impelling
More informationMEDICAL DECISION SUPPORT IN CLINICAL RECORD MANAGEMENT SYSTEMS. Stefano Rizzi DEIS - Facoltˆ di Ingegneria, Universitˆ di Bologna, Italy
MEDICAL DECISION SUPPORT IN CLINICAL RECORD MANAGEMENT SYSTEMS Stefano Rizzi DEIS - Facoltˆ di Ingegneria, Universitˆ di Bologna, Italy Fulvio Sartoni Olivetti Ricerca S.c.p.a., Italy KEYWORDS: Expert
More information2. What Should Advocates Know About Diabetes? O
2. What Should Advocates Know About Diabetes? O ften a school district s failure to properly address the needs of a student with diabetes is due not to bad faith, but to ignorance or a lack of accurate
More informationUniversity of St. Thomas Health Services and Counseling ADD/ADHD Guidelines
University of St. Thomas Health Services and Counseling ADD/ADHD Guidelines Students with suspected or diagnosed ADD/ADHD may present in different circumstances. These guidelines were developed to provide
More informationDesign and Implementation of Hospital Management System Using Java
IOSR Journal of Mobile Computing & Application (IOSR-JMCA) e-issn: 2394-0050, P-ISSN: 2394-0042.Volume 2, Issue 1. (Mar. - Apr. 2015), PP 32-36 www.iosrjournals.org Design and Implementation of Hospital
More informationAdult Weight Management Training Summary
Adult Weight Management Training Summary The Commission on Dietetic Registration, the credentialing agency for the Academy of Nutrition and Dietetics Marilyn Holmes, MS, RDN, LDN About This Presentation
More informationDizziness and Vertigo
Dizziness and Vertigo Introduction When you are dizzy, you may feel lightheaded or lose your balance. If you also feel that the room is spinning, you may have vertigo. Vertigo is a type of severe dizziness.
More informationElectronic Logbook. Hedgehog-2. version 2.7. Quick Start. Revision 1.3 of 10/31/2012
Electronic Logbook Hedgehog-2 version 2.7 Quick Start Revision 1.3 of 10/31/2012 Monitor Electric, 2012 2 CONTENTS Introduction 3 Entry List 4 Event Entry 4 Filtering and Sorting 6 Chaining 7 Attachments,
More informationWhen Bed-Wetting Becomes A Problem. A Guide for Patients and their Families
When Bed-Wetting Becomes A Problem A Guide for Patients and their Families Bed-wetting loss of urine during sleep can be a major problem for children. Bed-wetting is almost never done on purpose or due
More informationHow To Create A Health Record Index From A Computerised Health Record
Education Module for Health Record Practice Module 6 - Hospital Health Record Computer Applications The development of automated patient information services to enable the efficient retrieval of information
More informationa) Each facility shall have a medical record system that retrieves information regarding individual residents.
TITLE 77: PUBLIC HEALTH CHAPTER I: DEPARTMENT OF PUBLIC HEALTH SUBCHAPTER c: LONG-TERM CARE FACILITIES PART 300 SKILLED NURSING AND INTERMEDIATE CARE FACILITIES CODE SECTION 300.1810 RESIDENT RECORD REQUIREMENTS
More informationBusiness Intelligence and Decision Support Systems
Chapter 12 Business Intelligence and Decision Support Systems Information Technology For Management 7 th Edition Turban & Volonino Based on lecture slides by L. Beaubien, Providence College John Wiley
More informationHow To Use Neural Networks In Data Mining
International Journal of Electronics and Computer Science Engineering 1449 Available Online at www.ijecse.org ISSN- 2277-1956 Neural Networks in Data Mining Priyanka Gaur Department of Information and
More informationMARY T. INC. PROGRAM POLICY MANUAL
MARY T. INC. PROGRAM POLICY MANUAL POLICY Safe Medication Assistance and SECTION: 2-2C TITLE: Administration Policy REVISED BY: Jane Strobel, RN PAGE: 1of 6 APPLIES TO: All Services Operating Under Rule
More informationITIL, the CMS, and You BEST PRACTICES WHITE PAPER
ITIL, the CMS, and You BEST PRACTICES WHITE PAPER Table OF CONTENTS executive Summary............................................... 1 What Is a CMS?...................................................
More informationPutting IBM Watson to Work In Healthcare
Martin S. Kohn, MD, MS, FACEP, FACPE Chief Medical Scientist, Care Delivery Systems IBM Research marty.kohn@us.ibm.com Putting IBM Watson to Work In Healthcare 2 SB 1275 Medical data in an electronic or
More informationPAIN MANAGEMENT AT UM/SYLVESTER
PAIN MANAGEMENT AT UM/SYLVESTER W HAT IS THE PURPOSE OF THIS BROCHURE? We created this brochure for patients receiving care from the University of Miami Sylvester Comprehensive Cancer Center and their
More informationModeling and Design of Intelligent Agent System
International Journal of Control, Automation, and Systems Vol. 1, No. 2, June 2003 257 Modeling and Design of Intelligent Agent System Dae Su Kim, Chang Suk Kim, and Kee Wook Rim Abstract: In this study,
More informationA WEB-BASED WIRELESS ACCESS TO ONLINE INFORMATION SYSTEM FOR NAFDAC
A WEB-BASED WIRELESS ACCESS TO ONLINE INFORMATION SYSTEM FOR NAFDAC Calister N. Mba 1 and Prof. Hyacinth C. Inyama 2 1 Department of Computer Engineering, Caritas University, Amorji-Nike, Enugu. Enugu
More informationSoftware Requirements Specification (SRS) EMR Data Analysis
Software Requirements Specification (SRS) EMR Data Analysis Authors: James Drallos, Jordan Clare, Joseph Korolewicz, Daniel Laboy Customer: Dr. Gary Ferenchick Instructor: Dr. Betty Cheng 1 Introduction
More informationInformation Technology Career Field Pathways and Course Structure
Information Technology Career Field Pathways and Course Structure Courses in Information Support and Services (N0) Computer Hardware 2 145025 Computer Software 145030 Networking 2 145035 Network Operating
More informationTypical programme structures for MSc programmes in the School of Computing Science
Typical programme structures for MSc programmes in the School of Computing Science 1 If you have a good degree in a subject other than computing: MSc Information Technology MSc Software Development 2 MSc
More informationArtificial Intelligence
Artificial Intelligence Chapter 1 Chapter 1 1 Outline What is AI? A brief history The state of the art Chapter 1 2 What is AI? Systems that think like humans Systems that think rationally Systems that
More informationCHAPTER 2 DATABASE MANAGEMENT SYSTEM AND SECURITY
CHAPTER 2 DATABASE MANAGEMENT SYSTEM AND SECURITY 2.1 Introduction In this chapter, I am going to introduce Database Management Systems (DBMS) and the Structured Query Language (SQL), its syntax and usage.
More informationCSC384 Intro to Artificial Intelligence
CSC384 Intro to Artificial Intelligence What is Artificial Intelligence? What is Intelligence? Are these Intelligent? CSC384, University of Toronto 3 What is Intelligence? Webster says: The capacity to
More informationCybage Electronic Medical Record (EMR) Usability
White Paper Cybage Electronic Medical Record (EMR) Usability Table of Contents 01 1. Introduction 02 1.1 Usability Goals In EMR 03 1.2 Usability Principles In Action 03 1.2.1 Information Architecture 04
More informationYour Medicines and Bladder Control
National Kidney and Urologic Diseases Information Clearinghouse National Kidney and Urologic Diseases Information Clearinghouse Your Medicines and Bladder Control BLADDER Let s talk about bladder control
More informationAppendices master s degree programme Artificial Intelligence 2014-2015
Appendices master s degree programme Artificial Intelligence 2014-2015 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability
More informationModule 1: Introduction to Designing Security
Module 1: Introduction to Designing Security Table of Contents Module Overview 1-1 Lesson 1: Overview of Designing Security for Microsoft Networks 1-2 Lesson 2: Introducing Contoso Pharmaceuticals: A Case
More informationFrom Cognitive Science to Data Mining: The first intelligence amplifier
From Cognitive Science to Data Mining: The first intelligence amplifier Tom Khabaza Abstract This paper gives a brief account of two hypotheses. First that data mining is a kind of intelligence amplifier,
More informationKings Canyon Unified School District Gifted and Talented Education Program GATE
Kings Canyon Unified School District Gifted and Talented Education Program GATE Kings Canyon Unified School District offers a variety of programs to develop unique education opportunities for high-achieving
More information